Research output per year
Research output per year
Project Details
Description
The goal of the JobMatch project is to improve the accuracy of the job recommendations made by Jobindex, Scandinavia's largest job portal, thereby reducing the number of unemployed people, of delayed employment, and of job changes due to mismatched job seekers and job postingsin Denmark.
The aim is to research and develop a tool—JobMatch—that can match reliably and automatically in a personalized manner while taking into account each candidate’s unique career path, locational preferences, and workplace-related cultural preferences. If successful, the tool will be able to (1) identify the candidates that best match a job advert (and vice versa); (2) suggest persuasive messages to send to relevant candidates to convince them to apply; and (3) conduct this persuasive communication in a culturally informed way.
The aim is to research and develop a tool—JobMatch—that can match reliably and automatically in a personalized manner while taking into account each candidate’s unique career path, locational preferences, and workplace-related cultural preferences. If successful, the tool will be able to (1) identify the candidates that best match a job advert (and vice versa); (2) suggest persuasive messages to send to relevant candidates to convince them to apply; and (3) conduct this persuasive communication in a culturally informed way.
| Short title | JobMatch |
|---|---|
| Status | Active |
| Effective start/end date | 01/12/2020 → 30/11/2023 |
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
Keywords
- recommender systems
- personalization
- job recommendation
- HR
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
-
An exploration of the information seeking behavior of recruiters
Bogers, T. & Kaya, M., 2021, In: CEUR Workshop Proceedings. 2967, p. 11-18Research output: Contribution to journal › Conference article in Journal › Research › peer-review
Open AccessFile49 Downloads (Pure) -
Effectiveness of job title based embeddings on résumé to job ad recommendation
Kaya, M. & Bogers, T., 2021, In: CEUR Workshop Proceedings. 2967Research output: Contribution to journal › Conference article in Journal › Research › peer-review
Open AccessFile49 Downloads (Pure) -
RecSys in HR: Workshop on recommender systems for human resources
Bogers, T., Graus, D., Kaya, M., Gutiérrez, F. & Verbert, K., 13 Sept 2021, RecSys 2021 - 15th ACM Conference on Recommender Systems. Association for Computing Machinery, p. 799-802 4 p. (RecSys 2021 - 15th ACM Conference on Recommender Systems).Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research
1 Citation (Scopus)